Experimental investigation on surface roughness and cutting tool – Workpiece interface temperature for AA6061 using CRITIC and TOPSIS techniques

Abstract

The measurement of surface roughness after machining a component plays a significant step for ensuring the aesthetic quality of the finished product. The appropriate input parameters selection is highly vital to attain a desired surface finish in any machining process. The present work studies the effect of three different end milling process parameters such as cutting speed, feed and depth of cut to understand their significance over surface roughness and cutting tool – work piece interface temperature. The weight determination for the criteria has been done using CRITIC method and multi objective optimization is carried out using TOPSIS methodology. Taguchi’s Signal to Noise ratio method is adopted for identifying the significant parameter for output responses individually. For both the responses depth of cut is the most potential factor through signal to noise ratio method. A1B2C1 is recommended for low surface roughness and A2B2C1 is found to be the combination for low cutting tool - work piece interface temperature. Through TOPSIS methodology the optimized parameter combination for minimization of both the output responses is found to be A3B3C2 and Depth of cut is the potential factor affecting both the output responses. Cutting speed is found to be factor having less significance over both surface roughness and cutting tool – work piece interface temperature.